Structural abnormality detection method based on consistent data replacement under incomplete data

A technology of data replacement and abnormality detection, applied in the testing of machine/structural components, electrical digital data processing, testing of mechanical components, etc. Effect

Active Publication Date: 2012-01-18
FUZHOU UNIVERSITY
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  • Claims
  • Application Information

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However, the study found that the data processed by these three methods cannot be applied to the an

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  • Structural abnormality detection method based on consistent data replacement under incomplete data
  • Structural abnormality detection method based on consistent data replacement under incomplete data
  • Structural abnormality detection method based on consistent data replacement under incomplete data

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Embodiment Construction

[0047] The present invention will be described in detail below with reference to the accompanying drawings.

[0048] The invention provides a structural anomaly detection method based on a consistent data replacement method under incomplete data, which is characterized in that a plurality of sensors are used to collect structural responses first, and some of the sensors fail to obtain a response signal containing incomplete data ; Then denoise all the collected signals; then complete the incomplete data using the consistent data replacement method; finally use wavelet decomposition to realize structural anomaly detection on the completed data.

[0049] The denoising processing of the signal comprises the following steps:

[0050] ① Select the wavelet function to decompose the noisy signal by wavelet;

[0051] ② Process the decomposed wavelet coefficients by threshold threshold method;

[0052] ③ Perform wavelet reconstruction on the processed wavelet coefficients;

[0053] ...

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Abstract

The invention relates to a structural abnormality detection method based on consistent data replacement under incomplete data, which comprises the following steps: firstly, carrying out collection on a structural response by utilizing a plurality of sensors, wherein certain sensors become invalid, thereby, obtaining response signals containing the incomplete data; then, carrying out denoising processing on all the collected signals; subsequently, carrying out complete processing on the incomplete data in the signals by utilizing a consistent data replacement method; and finally, decomposing the completely processed data by utilizing a small wave to realize structural abnormality detection. The method is capable of well processing multiple-degree of freedom, non-free vibration, nonlinear, unsteady and incomplete response signals, can be used for signal processing in the field of civil engineering, aerospace, automatic control, mechanical engineering, bridge engineering, hydraulic engineering and the like, and has the characteristics of improving the anti-jamming capability of the data and improving the structural abnormality detection accuracy under the incomplete data.

Description

technical field [0001] The invention relates to a structural anomaly detection method based on a consistent data replacement method under incomplete data, in particular to a new technology for processing incomplete data—a consistent data replacement method. Background technique [0002] With the development of the economy and the advancement of science and technology, many large-scale projects such as super long-span bridges, super high-rise buildings, and offshore platform structures have been built. Their service life is as long as decades or even hundreds of years. The coupling effect of long-term load effects, fatigue and catastrophic factors will inevitably lead to damage accumulation and resistance attenuation of structures and systems, which will lead to catastrophic accidents in extreme cases. Therefore, it is of great significance to carry out structural health monitoring and safety assessment on large-scale engineering structures. Structural health monitoring syst...

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Application Information

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IPC IPC(8): G01M13/00G06F19/00
Inventor 姜绍飞韩哲东吴兆旗
Owner FUZHOU UNIVERSITY
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